Abstract: In recent years, there has been a notable surge in the development of methods dedicated to classifying hyper spectral image samples. However, the inherent high dimensionality of hyper ...

Abstract: Exploiting spectral–spatial information and reducing the number of required training samples are important for improving tree species classification performance in hyperspectral images. In ...

The future of surveying, mapping and global sustainability requires pairing the best of satellite technology with human ...

Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...

Announcing a new publication from Opto-Electronic Advances; DOI 10.29026/oea.2026.250312 .Bone mineral density (BMD) has long been the "gold ...

Imagine sitting in a packed restaurant, straining to hear the person across the table while every other conversation, every ...

The proposed framework combines machine learning and earthquake engineering to prioritize high-risk buildings, optimizing ...

Background Chronic total occlusion (CTO) often triggers collateral coronary development, yet the relationship between ...

Surface electromyography (sEMG) has emerged as a non-invasive modality for assessing respiratory muscle activity, including ...

Explore the ultimate guide to automated brain organoid culture workflows and learn how the CellXpress.ai system enables scalable ...